Replication Material for "Global Governance under Populism: The Challenge of Information Suppression"

## 1 Information

Authors: Allison Carnegie, Richard Clark, and Noah Zucker
Date: July 8, 2024
Contact email: richard.clark@nd.edu

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# 2 File overview

## 2.1 Data files for figures and analysis

backfilling_by_populism_sci.csv - data generated in the R scripts on whether or not missing scientific data in older versions of the WDI are subsequently backfilled

backfilling_by_populism.csv - data generated in the R scripts on whether or not missing data in older versions of the WDI are subsequently backfilled

blair_data.csv - populism data hand-coded based on report from Blair Institute for Global Change https://www.institute.global/insights/politics-and-governance/high-tide-populism-power-1990-2020

dpadproj.csv - data on conditional loan programs from the World Bank through the Development Policy Financing instrument https://www.worldbank.org/en/what-we-do/products-and-services/financing-instruments/development-policy-financing

DPI2015.csv - data from Database of Political Institutions 2015 version (Scartascini et al. 2020) https://publications.iadb.org/en/database-political-institutions-2015-dpi2015

dqcontrols.csv - control variables from World Development Indicators for emissions tests downloaded March 2021 https://databank.worldbank.org/source/world-development-indicators

excluded_vars.rds - duplicate or derivative variable names in WDI dropped from analysis, hand-coded

funke_data.csv - populism data from Funke et al. 2023 https://www.aeaweb.org/articles?id=10.1257/aer.20202045

ghg_gap_annex1.csv - data used for emissions analyses restricted to annex 1 countries

ghgunfccc - folder containing annual reports on emissions used to construct data sets above

global_crisis_data.xlsx - data on global economic crises https://www.hbs.edu/behavioral-finance-and-financial-stability/data/Pages/global.aspx

IMFagg.csv - data on IMF program participation drawing on Kentikelenis et al. 2016 https://www.tandfonline.com/doi/abs/10.1080/09692290.2016.1174953

p5v2018.csv - data from Polity (Polity5 version) on regime type https://www.systemicpeace.org/polityproject.html

unfccctot.csv - state-reported emissions data from UNFCCC downloaded Feb 2021 https://unfccc.int/topics/mitigation/resources/registry-and-data/ghg-data-from-unfccc

V-Dem-CY-Full-Others-v11.1.csv - V-Dem data versions 11.1 https://v-dem.net/data/the-v-dem-dataset/

WDI Archives - folder containing archived versions of the WDI, used to determine whether backfilling occurs

wdi_data_full.csv - complete WDI dataset downloaded January 2019 https://databank.worldbank.org/source/world-development-indicators

wdi_miss.csv - data used for missingness analyses, see codebook_wdi_miss

wdi_science.rds - scientific variable names used in science analysis, hand-coded

wdi_stack_valid_agg_by_var_year.csv - aggregated data set constructed from files in WDI Archives folder

wdighgtot.csv - data on estimated GHG emissions from WDI downloaded Feb 2021 https://databank.worldbank.org/source/world-development-indicators

## 2.2 .R files

datagen.R - includes code necessary to merge source data and create datasets used in all analyses

analysis.R - includes code necessary to replicate all analyses / results presented in paper and appendix (except for IRT which is computationally cumbersome, code available for that analysis upon request)

## 2.3 R Version 

All data analyses in this article were carried out using R 4.3.2 / RStudio 2024.04.1+748 / macOS Sonoma 14.5

## 2.4 Codebook

We include two codebooks corresponding to the data used for analysis.

codebook_wdi_miss - includes variable descriptions and sources for data used in WDI / missingness analyses (wdi_miss.csv)

codebook_ghg_miss - includes variable descriptions and sources for data used in emissions analyses


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## 3 List of required Packages

Note: All packages are available from CRAN as of 7/8/24. 

tidyverse, janitor, data.table, readxl, countrycode, lfe, magrittr, broom, interflex
